Literature DB >> 17494058

Contrast-dependent and contrast-independent spatial summation of primary visual cortical neurons of the cat.

Xue-Mei Song1, Chao-Yi Li.   

Abstract

Recent studies have reported that the size of the classical receptive field (CRF) and the extent of spatial summation of V1 neurons depend on stimulus contrast. We reexamined these properties for 48 V1 neurons in the cat and found that all the cells had a constant CRF size, whereas their spatial summation properties can be contrast dependent (CD) or contrast independent (CID). Of the 29 CD cells, 17 showed facilitatory summation at low contrast (10%), but suppressive summation at high contrast (80%); the other 12 showed weak suppressive summation at low contrast, whereas the strength of suppression increased significantly at high contrast. The 19 CID cells showed similar facilitative (CIDf) or suppressive (CIDs) summation at low and high contrast, without changes in shape and/or peak location. We successfully labeled 11 CD cells and 10 CID cells with biocytin. The morphological results demonstrated that all the labeled CD cells were pyramidal cells, whereas all labeled CID cells were nonpyramidal cells, in which the CIDf cells were spiny stellates and the CIDs cells, smooth interneurons. There is thus a global distinction between summation properties of pyramidal and nonpyramidal cells, and between the smooth and spiny nonpyramidal cells as well.

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Year:  2007        PMID: 17494058     DOI: 10.1093/cercor/bhm057

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  15 in total

1.  Perceptual learning improves contrast sensitivity of V1 neurons in cats.

Authors:  Tianmiao Hua; Pinglei Bao; Chang-Bing Huang; Zhenhua Wang; Jinwang Xu; Yifeng Zhou; Zhong-Lin Lu
Journal:  Curr Biol       Date:  2010-05-06       Impact factor: 10.834

2.  Neural coding of image structure and contrast polarity of Cartesian, hyperbolic, and polar gratings in the primary and secondary visual cortex of the tree shrew.

Authors:  Jordan Poirot; Paolo De Luna; Gregor Rainer
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

3.  Orientation selectivity in cat primary visual cortex: local and global measurement.

Authors:  Tao Xu; Hong-Mei Yan; Xue-Mei Song; Ming Li
Journal:  Neurosci Bull       Date:  2015-06-18       Impact factor: 5.203

4.  A Unifying Motif for Spatial and Directional Surround Suppression.

Authors:  Liu D Liu; Kenneth D Miller; Christopher C Pack
Journal:  J Neurosci       Date:  2017-12-11       Impact factor: 6.167

5.  The stabilized supralinear network: a unifying circuit motif underlying multi-input integration in sensory cortex.

Authors:  Daniel B Rubin; Stephen D Van Hooser; Kenneth D Miller
Journal:  Neuron       Date:  2015-01-21       Impact factor: 17.173

6.  Inhibitory stabilization of the cortical network underlies visual surround suppression.

Authors:  Hirofumi Ozeki; Ian M Finn; Evan S Schaffer; Kenneth D Miller; David Ferster
Journal:  Neuron       Date:  2009-05-28       Impact factor: 17.173

7.  Analysis of the stabilized supralinear network.

Authors:  Yashar Ahmadian; Daniel B Rubin; Kenneth D Miller
Journal:  Neural Comput       Date:  2013-05-10       Impact factor: 2.026

Review 8.  Circuits and Mechanisms for Surround Modulation in Visual Cortex.

Authors:  Alessandra Angelucci; Maryam Bijanzadeh; Lauri Nurminen; Frederick Federer; Sam Merlin; Paul C Bressloff
Journal:  Annu Rev Neurosci       Date:  2017-05-03       Impact factor: 12.449

9.  Precise Targeting of Single Microelectrodes to Orientation Pinwheel Centers.

Authors:  Xue Mei Song; Ming Li; Tao Xu; Dewen Hu; Anna Wang Roe
Journal:  Bio Protoc       Date:  2020-06-05

10.  Potential roles of the interaction between model V1 neurons with orientation-selective and non-selective surround inhibition in contour detection.

Authors:  Kai-Fu Yang; Chao-Yi Li; Yong-Jie Li
Journal:  Front Neural Circuits       Date:  2015-06-16       Impact factor: 3.492

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